Set Options

knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())

library(rio)
library(labelled)

Prep Data

library(codebook)
## 
## Attaching package: 'codebook'
## The following object is masked from 'package:labelled':
## 
##     to_factor
codebook_data <- import("../data_processing/output_data/participant_data/sr_participant_data.csv")

# cat(paste(names(codebook_data), collapse = " = '', \n"))

var_label(codebook_data) <- list(
  observation = "Unique participant ID number.",
  duration_demographics = "The duration in milliseconds of the entire trial from time shown to time end - for the demographics form page.",
  time_run_demographics = "The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the demographics form page.",
  time_render_demographics = "The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the demographics form page.",
  time_show_demographics = "The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the demographics form page.",
  time_end_demographics = "The time in milliseconds from the start of the experiment it took to end the current trial - for the demographics form page.",
  time_commit_demographics = "The time in milliseconds from the start of the experiment it took to save the current trial - for the demographics form page.",
  timestamp_demographics = "The approximate timestamp of the trial in UTC server time - for the demographics form page.",
  time_switch_demographics = "The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the demographics form page.",
  please_tell_us_your_gender = "A multiple choice option for the gender of the participant. All answer choices were in the target language, but are presented in English equivalents here.",
  which_year_were_you_born = "A numeric entry box for the year of birth for the participant.",
  please_tell_us_your_education_level = "A multiple choice option for the education level of the participant. All answer choices were in the target language, but are presented in English equivalents here.",
  native_language = "An open choice answer box for the native language of the participant.",
  duration_consent = "The duration in milliseconds of the entire trial from time shown to time end - for the consent form page.",
  time_run_consent = "The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the consent form page.",
  time_render_consent = "The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the consent form page.",
  time_show_consent = "The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the consent form page.",
  time_end_consent = "The time in milliseconds from the start of the experiment it took to end the current trial - for the consent form page.",
  time_commit_consent = "The time in milliseconds from the start of the experiment it took to save the current trial - for the consent form page.",
  timestamp_consent = "The approximate timestamp of the trial in UTC server time - for the consent form page.",
  time_switch_consent = "The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the consent form page.",
  url_lab = "The lab code for the PSA member that ran the study.",
  meta_labjs_version = "The version of labjs used in the study.",
  meta_user_agent = "The browser the participant used in the study.",
  meta_platform = "The operating system of the computer used in the experiment.",
  meta_language = "The default language set for the browser the participant used in the study.",
  meta_locale = "The location of the browser the participant used in the study.",
  meta_time_zone = "The timezone set for the browser/computer the participant used in the study.",
  meta_timezone_offset = "The time zone offset from UTC time.",
  meta_screen_width = "The width of the screen in pixels.",
  meta_screen_height = "The height of the screen in pixels.",
  meta_scroll_height = "The height of the scroll bar.",
  meta_scroll_width = "The width of the scroll bar.", 
  meta_window_inner_width = "The width of the browser window in pixels.",
  meta_window_inner_height = "The height of the browser window in pixels.",
  meta_device_pixel_ratio = "The ratio of width to height of the screen in pixels.",
  meta_labjs_build_flavor = "The version build of the labjs version - usually production.",
  meta_labjs_build_commit = "The commit version of the labjs build.",
  keep = 'If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials SEEN.', 
  keep_answered = 'If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials ANSWERED.',
  n_trials = 'Number of trials seen in the study. ', 
  n_correct = 'Number of trials correctly answered in the study.', 
  p_correct = 'Proportion correct of total correct answers divided by number of trials seen.', 
  n_answered = 'Number of trials answered in the study (excludes timeouts). ', 
  p_correct_answered = 'Proportion of trials correctly answered given the number of trials answered in the study.', 
  start = 'The first timestamp of the study. ', 
  end = 'The last timestamp of the study.', 
  study_length = "Length of the study in minutes. Please note that if a participant's computer went to sleep during the study, it would pause the study, but given the next timestamp would still calculate time elapsed from the previous timestamp. Therefore, very long response times likely indicate participants that quit the study but did not close the browser window for a long time.")

metadata(codebook_data)$name <- "Semantic Priming Across Many Languages Participants Level Data (Example using Serbian Data)"
metadata(codebook_data)$description <- "This dataset contains the summarized participant information, separated by language, for participants involved in the study. The data includes demographic variables, timestamp information for the consent form and demographic page, and the summarized accuracy, trial, and study length for each participant. 

Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical populations; however, they have suffered from several issues including generally low sample sizes and a lack of diversity in linguistic implementations. Here, we will test the size and the variability of the semantic priming effect across ten languages by creating a large database of semantic priming values, based on an adaptive sampling procedure. Differences in response latencies between related word-pair conditions and unrelated word-pair conditions (i.e., difference score confidence interval is greater than zero) will allow quantifying evidence for semantic priming, whereas improvements in model fit with the addition of a random intercept for language will provide support for variability in semantic priming across languages."
metadata(codebook_data)$identifier <- "https://doi.org/10.5281/zenodo.10888833"
metadata(codebook_data)$creator <- "Erin M. Buchanan"
metadata(codebook_data)$citation <- "Buchanan, E., Cuccolo, K., Heyman, T., Iyer, A., Coles, N., Lewis Jr, N., Peters, K., van Berkel, N., Taylor, J., Van't Veer, A. E., Montefinese, M., Valentine, K. D., Maxwell, N., Türkan, B. N., Williams, G., Oliveros-Chacana, J. C., Röer, J., Fini, C., Acar, O., … Lewis, S. C. (2024). SemanticPriming/SPAML: SPAML v1 Data Release (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10888833"
metadata(codebook_data)$url <- "https://github.com/SemanticPriming/SPAML/releases/"
metadata(codebook_data)$datePublished <- "2024-05-01"
metadata(codebook_data)$temporalCoverage <- "2022-2024" 
metadata(codebook_data)$spatialCoverage <- "Online" 

Create codebook

codebook(codebook_data)

Metadata

Description

Dataset name: Semantic Priming Across Many Languages Participants Level Data (Example using Serbian Data)

This dataset contains the summarized participant information, separated by language, for participants involved in the study. The data includes demographic variables, timestamp information for the consent form and demographic page, and the summarized accuracy, trial, and study length for each participant.

Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical populations; however, they have suffered from several issues including generally low sample sizes and a lack of diversity in linguistic implementations. Here, we will test the size and the variability of the semantic priming effect across ten languages by creating a large database of semantic priming values, based on an adaptive sampling procedure. Differences in response latencies between related word-pair conditions and unrelated word-pair conditions (i.e., difference score confidence interval is greater than zero) will allow quantifying evidence for semantic priming, whereas improvements in model fit with the addition of a random intercept for language will provide support for variability in semantic priming across languages.

Metadata for search engines
name value
1 Erin M. Buchanan
x
observation
duration_demographics
time_run_demographics
time_render_demographics
time_show_demographics
time_end_demographics
time_commit_demographics
timestamp_demographics
time_switch_demographics
please_tell_us_your_gender
which_year_were_you_born
please_tell_us_your_education_level
native_language
duration_consent
time_run_consent
time_render_consent
time_show_consent
time_end_consent
time_commit_consent
timestamp_consent
time_switch_consent
url_lab
meta_labjs_version
meta_user_agent
meta_platform
meta_language
meta_locale
meta_time_zone
meta_timezone_offset
meta_screen_width
meta_screen_height
meta_scroll_width
meta_scroll_height
meta_window_inner_width
meta_window_inner_height
meta_device_pixel_ratio
meta_labjs_build_flavor
meta_labjs_build_commit
keep
keep_answered
n_trials
n_correct
p_correct
n_answered
p_correct_answered
start
end
study_length

#Variables

observation

Unique participant ID number.

Distribution

Distribution of values for observation

Distribution of values for observation

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
observation Unique participant ID number. character 0 1 790 0 14 14 0

duration_demographics

The duration in milliseconds of the entire trial from time shown to time end - for the demographics form page.

Distribution

Distribution of values for duration_demographics

Distribution of values for duration_demographics

18 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
duration_demographics The duration in milliseconds of the entire trial from time shown to time end - for the demographics form page. numeric 18 0.9772152 9992 30323 1.6e+07 62301.65 576826.5 ▇▁▁▁▁

time_run_demographics

The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the demographics form page.

Distribution

Distribution of values for time_run_demographics

Distribution of values for time_run_demographics

18 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
time_run_demographics The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the demographics form page. numeric 18 0.9772152 954 49681 1e+08 261673.6 3781201 ▇▁▁▁▁

time_render_demographics

The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the demographics form page.

Distribution

Distribution of values for time_render_demographics

Distribution of values for time_render_demographics

18 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
time_render_demographics The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the demographics form page. numeric 18 0.9772152 949 49671 1e+08 261666.8 3781201 ▇▁▁▁▁

time_show_demographics

The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the demographics form page.

Distribution

Distribution of values for time_show_demographics

Distribution of values for time_show_demographics

18 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
time_show_demographics The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the demographics form page. numeric 18 0.9772152 956 49686 1e+08 261697.6 3781201 ▇▁▁▁▁

time_end_demographics

The time in milliseconds from the start of the experiment it took to end the current trial - for the demographics form page.

Distribution

Distribution of values for time_end_demographics

Distribution of values for time_end_demographics

18 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
time_end_demographics The time in milliseconds from the start of the experiment it took to end the current trial - for the demographics form page. numeric 18 0.9772152 12202 86348 1e+08 323999.3 3852181 ▇▁▁▁▁

time_commit_demographics

The time in milliseconds from the start of the experiment it took to save the current trial - for the demographics form page.

Distribution

Distribution of values for time_commit_demographics

Distribution of values for time_commit_demographics

18 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
time_commit_demographics The time in milliseconds from the start of the experiment it took to save the current trial - for the demographics form page. numeric 18 0.9772152 12202 86348 1e+08 324000.9 3852181 ▇▁▁▁▁

timestamp_demographics

The approximate timestamp of the trial in UTC server time - for the demographics form page.

Distribution

## 772  unique, categorical values, so not shown.

18 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max
timestamp_demographics The approximate timestamp of the trial in UTC server time - for the demographics form page. POSIXct 18 0.9772152 772 2022-12-13 18:19:30.42 2023-10-27 18:36:07.453 2024-02-13 21:53:08.08

time_switch_demographics

The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the demographics form page.

Distribution

Distribution of values for time_switch_demographics

Distribution of values for time_switch_demographics

18 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
time_switch_demographics The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the demographics form page. numeric 18 0.9772152 12212 86355 1e+08 324012.6 3852180 ▇▁▁▁▁

please_tell_us_your_gender

A multiple choice option for the gender of the participant. All answer choices were in the target language, but are presented in English equivalents here.

Distribution

Distribution of values for please_tell_us_your_gender

Distribution of values for please_tell_us_your_gender

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
please_tell_us_your_gender A multiple choice option for the gender of the participant. All answer choices were in the target language, but are presented in English equivalents here. character 0 1 5 21 0 6 0

which_year_were_you_born

A numeric entry box for the year of birth for the participant.

Distribution

Distribution of values for which_year_were_you_born

Distribution of values for which_year_were_you_born

18 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
which_year_were_you_born A numeric entry box for the year of birth for the participant. numeric 18 0.9772152 1955 2003 2005 1994.333 13.9183 ▁▂▁▁▇

please_tell_us_your_education_level

A multiple choice option for the education level of the participant. All answer choices were in the target language, but are presented in English equivalents here.

Distribution

Distribution of values for please_tell_us_your_education_level

Distribution of values for please_tell_us_your_education_level

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
please_tell_us_your_education_level A multiple choice option for the education level of the participant. All answer choices were in the target language, but are presented in English equivalents here. character 0 1 7 19 0 21 0

native_language

An open choice answer box for the native language of the participant.

Distribution

Distribution of values for native_language

Distribution of values for native_language

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
native_language An open choice answer box for the native language of the participant. character 0 1 37 27 0 17 0

url_lab

The lab code for the PSA member that ran the study.

Distribution

Distribution of values for url_lab

Distribution of values for url_lab

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
url_lab The lab code for the PSA member that ran the study. character 0 1 3 0 2 9 0

meta_labjs_version

The version of labjs used in the study.

Distribution

Distribution of values for meta_labjs_version

Distribution of values for meta_labjs_version

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
meta_labjs_version The version of labjs used in the study. character 0 1 2 3 0 6 0

meta_user_agent

The browser the participant used in the study.

Distribution

Distribution of values for meta_user_agent

Distribution of values for meta_user_agent

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
meta_user_agent The browser the participant used in the study. character 0 1 77 3 0 147 0

meta_platform

The operating system of the computer used in the experiment.

Distribution

Distribution of values for meta_platform

Distribution of values for meta_platform

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
meta_platform The operating system of the computer used in the experiment. character 0 1 4 3 0 12 0

meta_language

The default language set for the browser the participant used in the study.

Distribution

Distribution of values for meta_language

Distribution of values for meta_language

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
meta_language The default language set for the browser the participant used in the study. character 0 1 22 3 0 10 0

meta_locale

The location of the browser the participant used in the study.

Distribution

Distribution of values for meta_locale

Distribution of values for meta_locale

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
meta_locale The location of the browser the participant used in the study. character 0 1 14 3 0 10 0

meta_time_zone

The timezone set for the browser/computer the participant used in the study.

Distribution

Distribution of values for meta_time_zone

Distribution of values for meta_time_zone

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
meta_time_zone The timezone set for the browser/computer the participant used in the study. character 0 1 16 3 0 19 0

meta_timezone_offset

The time zone offset from UTC time.

Distribution

Distribution of values for meta_timezone_offset

Distribution of values for meta_timezone_offset

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
meta_timezone_offset The time zone offset from UTC time. numeric 3 0.9962025 -120 -60 480 -68.08132 50.90283 ▇▁▁▁▁

meta_screen_width

The width of the screen in pixels.

Distribution

Distribution of values for meta_screen_width

Distribution of values for meta_screen_width

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
meta_screen_width The width of the screen in pixels. numeric 3 0.9962025 915 1536 3440 1622.333 277.2668 ▃▇▁▁▁

meta_screen_height

The height of the screen in pixels.

Distribution

Distribution of values for meta_screen_height

Distribution of values for meta_screen_height

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
meta_screen_height The height of the screen in pixels. numeric 3 0.9962025 515 864 1440 922.9492 149.7347 ▁▇▂▅▁

meta_scroll_width

The width of the scroll bar.

Distribution

Distribution of values for meta_scroll_width

Distribution of values for meta_scroll_width

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
meta_scroll_width The width of the scroll bar. numeric 3 0.9962025 767 1536 3440 1602.76 276.8653 ▂▇▅▁▁

meta_scroll_height

The height of the scroll bar.

Distribution

Distribution of values for meta_scroll_height

Distribution of values for meta_scroll_height

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
meta_scroll_height The height of the scroll bar. numeric 3 0.9962025 407 698 1281 740.77 145.6839 ▂▇▆▁▁

meta_window_inner_width

The width of the browser window in pixels.

Distribution

Distribution of values for meta_window_inner_width

Distribution of values for meta_window_inner_width

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
meta_window_inner_width The width of the browser window in pixels. numeric 3 0.9962025 767 1536 3440 1602.759 276.867 ▂▇▅▁▁

meta_window_inner_height

The height of the browser window in pixels.

Distribution

Distribution of values for meta_window_inner_height

Distribution of values for meta_window_inner_height

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
meta_window_inner_height The height of the browser window in pixels. numeric 3 0.9962025 407 746 1329 786.4816 148.8312 ▁▇▃▂▁

meta_device_pixel_ratio

The ratio of width to height of the screen in pixels.

Distribution

Distribution of values for meta_device_pixel_ratio

Distribution of values for meta_device_pixel_ratio

3 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
meta_device_pixel_ratio The ratio of width to height of the screen in pixels. numeric 3 0.9962025 0.9 1 2.2 1.126897 0.1870828 ▇▅▁▁▁

meta_labjs_build_flavor

The version build of the labjs version - usually production.

Distribution

Distribution of values for meta_labjs_build_flavor

Distribution of values for meta_labjs_build_flavor

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
meta_labjs_build_flavor The version build of the labjs version - usually production. character 0 1 2 3 0 10 0

meta_labjs_build_commit

The commit version of the labjs build.

Distribution

Distribution of values for meta_labjs_build_commit

Distribution of values for meta_labjs_build_commit

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
meta_labjs_build_commit The commit version of the labjs build. character 0 1 2 3 0 40 0

keep

If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials SEEN.

Distribution

Distribution of values for keep

Distribution of values for keep

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
keep If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials SEEN. character 0 1 2 0 4 7 0

keep_answered

If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials ANSWERED.

Distribution

Distribution of values for keep_answered

Distribution of values for keep_answered

0 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique empty min max whitespace
keep_answered If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials ANSWERED. character 0 1 2 0 4 7 0

n_trials

Number of trials seen in the study.

Distribution

Distribution of values for n_trials

Distribution of values for n_trials

36 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
n_trials Number of trials seen in the study. numeric 36 0.9544304 6 800 800 754.8899 147.0867 ▁▁▁▁▇

n_correct

Number of trials correctly answered in the study.

Distribution

Distribution of values for n_correct

Distribution of values for n_correct

36 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
n_correct Number of trials correctly answered in the study. numeric 36 0.9544304 0 752 798 686.2997 171.7876 ▁▁▁▁▇

p_correct

Proportion correct of total correct answers divided by number of trials seen.

Distribution

Distribution of values for p_correct

Distribution of values for p_correct

36 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
p_correct Proportion correct of total correct answers divided by number of trials seen. numeric 36 0.9544304 0 0.94 1 0.9026062 0.1433827 ▁▁▁▁▇

n_answered

Number of trials answered in the study (excludes timeouts).

Distribution

Distribution of values for n_answered

Distribution of values for n_answered

36 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
n_answered Number of trials answered in the study (excludes timeouts). numeric 36 0.9544304 0 796 800 733.7003 169.6685 ▁▁▁▁▇

p_correct_answered

Proportion of trials correctly answered given the number of trials answered in the study.

Distribution

Distribution of values for p_correct_answered

Distribution of values for p_correct_answered

36 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
p_correct_answered Proportion of trials correctly answered given the number of trials answered in the study. numeric 36 0.9544304 0 0.95 1 0.9224856 0.1208271 ▁▁▁▁▇

start

The first timestamp of the study.

Distribution

## 754  unique, categorical values, so not shown.

36 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max
start The first timestamp of the study. POSIXct 36 0.9544304 754 2022-12-20 17:47:51.709 2023-10-27 20:52:57.197 2024-02-13 21:53:45.854

end

The last timestamp of the study.

Distribution

## 754  unique, categorical values, so not shown.

36 missing values.

Summary statistics

name label data_type n_missing complete_rate n_unique min median max
end The last timestamp of the study. POSIXct 36 0.9544304 754 2022-12-20 18:05:19.61 2023-10-27 22:10:56.664 2024-02-13 22:09:46.042

study_length

Length of the study in minutes. Please note that if a participant’s computer went to sleep during the study, it would pause the study, but given the next timestamp would still calculate time elapsed from the previous timestamp. Therefore, very long response times likely indicate participants that quit the study but did not close the browser window for a long time.

Distribution

Distribution of values for study_length

Distribution of values for study_length

36 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist
study_length Length of the study in minutes. Please note that if a participant’s computer went to sleep during the study, it would pause the study, but given the next timestamp would still calculate time elapsed from the previous timestamp. Therefore, very long response times likely indicate participants that quit the study but did not close the browser window for a long time. numeric 36 0.9544304 0.22 21 16213 57.18814 672.3296 ▇▁▁▁▁

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Semantic Priming Across Many Languages Participants Level Data (Example using Serbian Data)",
  "description": "This dataset contains the summarized participant information, separated by language, for participants involved in the study. The data includes demographic variables, timestamp information for the consent form and demographic page, and the summarized accuracy, trial, and study length for each participant. \n\nSemantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical populations; however, they have suffered from several issues including generally low sample sizes and a lack of diversity in linguistic implementations. Here, we will test the size and the variability of the semantic priming effect across ten languages by creating a large database of semantic priming values, based on an adaptive sampling procedure. Differences in response latencies between related word-pair conditions and unrelated word-pair conditions (i.e., difference score confidence interval is greater than zero) will allow quantifying evidence for semantic priming, whereas improvements in model fit with the addition of a random intercept for language will provide support for variability in semantic priming across languages.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "identifier": "https://doi.org/10.5281/zenodo.10888833",
  "creator": "Erin M. Buchanan",
  "citation": "Buchanan, E., Cuccolo, K., Heyman, T., Iyer, A., Coles, N., Lewis Jr, N., Peters, K., van Berkel, N., Taylor, J., Van't Veer, A. E., Montefinese, M., Valentine, K. D., Maxwell, N., Türkan, B. N., Williams, G., Oliveros-Chacana, J. C., Röer, J., Fini, C., Acar, O., … Lewis, S. C. (2024). SemanticPriming/SPAML: SPAML v1 Data Release (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10888833",
  "url": "https://github.com/SemanticPriming/SPAML/releases/",
  "datePublished": "2024-05-01",
  "temporalCoverage": "2022-2024",
  "spatialCoverage": "Online",
  "keywords": ["observation", "duration_demographics", "time_run_demographics", "time_render_demographics", "time_show_demographics", "time_end_demographics", "time_commit_demographics", "timestamp_demographics", "time_switch_demographics", "please_tell_us_your_gender", "which_year_were_you_born", "please_tell_us_your_education_level", "native_language", "duration_consent", "time_run_consent", "time_render_consent", "time_show_consent", "time_end_consent", "time_commit_consent", "timestamp_consent", "time_switch_consent", "url_lab", "meta_labjs_version", "meta_user_agent", "meta_platform", "meta_language", "meta_locale", "meta_time_zone", "meta_timezone_offset", "meta_screen_width", "meta_screen_height", "meta_scroll_width", "meta_scroll_height", "meta_window_inner_width", "meta_window_inner_height", "meta_device_pixel_ratio", "meta_labjs_build_flavor", "meta_labjs_build_commit", "keep", "keep_answered", "n_trials", "n_correct", "p_correct", "n_answered", "p_correct_answered", "start", "end", "study_length"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "observation",
      "description": "Unique participant ID number.",
      "@type": "propertyValue"
    },
    {
      "name": "duration_demographics",
      "description": "The duration in milliseconds of the entire trial from time shown to time end - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_run_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_render_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_show_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_end_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to end the current trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_commit_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to save the current trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "timestamp_demographics",
      "description": "The approximate timestamp of the trial in UTC server time - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_switch_demographics",
      "description": "The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the demographics form page.",
      "@type": "propertyValue"
    },
    {
      "name": "please_tell_us_your_gender",
      "description": "A multiple choice option for the gender of the participant. All answer choices were in the target language, but are presented in English equivalents here.",
      "@type": "propertyValue"
    },
    {
      "name": "which_year_were_you_born",
      "description": "A numeric entry box for the year of birth for the participant.",
      "@type": "propertyValue"
    },
    {
      "name": "please_tell_us_your_education_level",
      "description": "A multiple choice option for the education level of the participant. All answer choices were in the target language, but are presented in English equivalents here.",
      "@type": "propertyValue"
    },
    {
      "name": "native_language",
      "description": "An open choice answer box for the native language of the participant.",
      "@type": "propertyValue"
    },
    {
      "name": "duration_consent",
      "description": "The duration in milliseconds of the entire trial from time shown to time end - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_run_consent",
      "description": "The time in milliseconds from the start of the experiment it took to run (start to display) the trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_render_consent",
      "description": "The time in milliseconds from the start of the experiment it took to render (prepare, get ready for) the trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_show_consent",
      "description": "The time in milliseconds from the start of the experiment it took to show the trial on the screen to the participant - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_end_consent",
      "description": "The time in milliseconds from the start of the experiment it took to end the current trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_commit_consent",
      "description": "The time in milliseconds from the start of the experiment it took to save the current trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "timestamp_consent",
      "description": "The approximate timestamp of the trial in UTC server time - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "time_switch_consent",
      "description": "The time in milliseconds from the start of the experiment it took to switch between the previous trial and the current trial - for the consent form page.",
      "@type": "propertyValue"
    },
    {
      "name": "url_lab",
      "description": "The lab code for the PSA member that ran the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_labjs_version",
      "description": "The version of labjs used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_user_agent",
      "description": "The browser the participant used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_platform",
      "description": "The operating system of the computer used in the experiment.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_language",
      "description": "The default language set for the browser the participant used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_locale",
      "description": "The location of the browser the participant used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_time_zone",
      "description": "The timezone set for the browser/computer the participant used in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_timezone_offset",
      "description": "The time zone offset from UTC time.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_screen_width",
      "description": "The width of the screen in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_screen_height",
      "description": "The height of the screen in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_scroll_width",
      "description": "The width of the scroll bar.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_scroll_height",
      "description": "The height of the scroll bar.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_window_inner_width",
      "description": "The width of the browser window in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_window_inner_height",
      "description": "The height of the browser window in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_device_pixel_ratio",
      "description": "The ratio of width to height of the screen in pixels.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_labjs_build_flavor",
      "description": "The version build of the labjs version - usually production.",
      "@type": "propertyValue"
    },
    {
      "name": "meta_labjs_build_commit",
      "description": "The commit version of the labjs build.",
      "@type": "propertyValue"
    },
    {
      "name": "keep",
      "description": "If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials SEEN.",
      "@type": "propertyValue"
    },
    {
      "name": "keep_answered",
      "description": "If that participant met the participant level exclusion criteria: they had to be at least 18, see at least 100 trials, and correctly answer 80% of the trials ANSWERED.",
      "@type": "propertyValue"
    },
    {
      "name": "n_trials",
      "description": "Number of trials seen in the study. ",
      "@type": "propertyValue"
    },
    {
      "name": "n_correct",
      "description": "Number of trials correctly answered in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "p_correct",
      "description": "Proportion correct of total correct answers divided by number of trials seen.",
      "@type": "propertyValue"
    },
    {
      "name": "n_answered",
      "description": "Number of trials answered in the study (excludes timeouts). ",
      "@type": "propertyValue"
    },
    {
      "name": "p_correct_answered",
      "description": "Proportion of trials correctly answered given the number of trials answered in the study.",
      "@type": "propertyValue"
    },
    {
      "name": "start",
      "description": "The first timestamp of the study. ",
      "@type": "propertyValue"
    },
    {
      "name": "end",
      "description": "The last timestamp of the study.",
      "@type": "propertyValue"
    },
    {
      "name": "study_length",
      "description": "Length of the study in minutes. Please note that if a participant's computer went to sleep during the study, it would pause the study, but given the next timestamp would still calculate time elapsed from the previous timestamp. Therefore, very long response times likely indicate participants that quit the study but did not close the browser window for a long time.",
      "@type": "propertyValue"
    }
  ]
}`